Revolutionize Shopping GadgetsHub
Buying gadgets online shouldn’t mean endless scrolling, confusing specs, and unreliable reviews. Gadget Hub changes the game. By collecting data from top web stores and using AI-driven trust analysis to guide what to trust and what not to, it brings thousands of gadgets into one hub, compares prices in real time, and cuts through fake reviews so you shop smarter, faster, and safer.
Save Time
AI surfaces the best deal instantly.
Spend Less
Direct Price comparison of best web stores.
Trust More
AI sentiment analysis beats fake reviews.
Shop Effortlessly
One hub for all electronics and gadgets.
Technical Architecture
Backend Services
Django was adopted to power the backend services, providing a reliable framework for data aggregation, business logic, and seamless integration with AI-driven components. Its scalability and security features ensured robust handling of large volumes of product data from multiple sources.
Frontend Interface
The user-facing interface was developed with React, delivering a responsive and interactive experience. This enabled users to easily compare products, explore recommendations, and access insights generated by the AI models.
Data Storage
MySQL served as the relational database, offering a structured and dependable environment for managing product catalogs, seller information, and recommendation outputs.
Caching Layer
Redis was utilized to optimize performance by caching frequently accessed product data and search results. This significantly reduced latency and improved the responsiveness of the platform.
Containerization
Docker was employed to containerize the application, ensuring consistent deployments across environments and simplifying scalability and maintenance.
Cloud Infrastructure
AWS was chosen as the deployment environment, providing scalable infrastructure and reliable cloud services to support continuous availability and efficient resource management.
